Compound optimal designs for percentile estimation in dose-response models with restricted design intervals
Compound optimal designs for percentile estimation in dose-response models with restricted design intervals
In dose-response studies, the dose range is often restricted due to ethics concerns over drug toxicity and/or efficacy,
particularly when human subjects are involved. We present locally optimal designs for the estimation of several percentiles simultaneously on restricted as well as unrestricted design intervals. Our results hold true for most of the commonly applied link functions with respect to the model under consideration.
dose-response model, link function, percentile estimation, compound optimal design, a-optimality
3838-3847
Biedermann, Stefanie
fe3027d2-13c3-4d9a-bfef-bcc7c6415039
Dette, Holger
8c7b1c2e-3adc-45df-acfc-9e76509a228e
Zhu, Wei
83068cea-979a-4276-ae7c-c989b252979b
2007
Biedermann, Stefanie
fe3027d2-13c3-4d9a-bfef-bcc7c6415039
Dette, Holger
8c7b1c2e-3adc-45df-acfc-9e76509a228e
Zhu, Wei
83068cea-979a-4276-ae7c-c989b252979b
Biedermann, Stefanie, Dette, Holger and Zhu, Wei
(2007)
Compound optimal designs for percentile estimation in dose-response models with restricted design intervals.
Journal of Statistical Planning and Inference, 137 (12), .
(doi:10.1016/j.jspi.2007.04.003).
Abstract
In dose-response studies, the dose range is often restricted due to ethics concerns over drug toxicity and/or efficacy,
particularly when human subjects are involved. We present locally optimal designs for the estimation of several percentiles simultaneously on restricted as well as unrestricted design intervals. Our results hold true for most of the commonly applied link functions with respect to the model under consideration.
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Published date: 2007
Keywords:
dose-response model, link function, percentile estimation, compound optimal design, a-optimality
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Statistics
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Local EPrints ID: 58642
URI: http://eprints.soton.ac.uk/id/eprint/58642
ISSN: 0378-3758
PURE UUID: 4ad13ff8-dd47-4e5f-af79-3e85a38973b8
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Date deposited: 19 Aug 2008
Last modified: 16 Mar 2024 03:51
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Author:
Holger Dette
Author:
Wei Zhu
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